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首页> 外文期刊>Advances in Adaptive Data Analysis >COARSE SPACES BY ALGEBRAIC MULTIGRID: MULTIGRID CONVERGENCE AND UPSCALING ERROR ESTIMATES
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COARSE SPACES BY ALGEBRAIC MULTIGRID: MULTIGRID CONVERGENCE AND UPSCALING ERROR ESTIMATES

机译:代数多重网格的粗空间:多重网格收敛和估计误差估计

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摘要

We give an overview of a number of algebraic multigrid methods targeting finite element discretization problems. The focus is on the properties of the constructed hierarchy of coarse spaces that guarantee (two-grid) convergence. In particular, a necessary condition known as "weak approximation property," and a sufficient one, referred to as "strong approximation property," are discussed. Their role in proving convergence of the TG method (as iterative method) and also on the approximation properties of the algebraic mottigrid (AMG) coarse spaces if used as discretization tool is pointed out. Some preliminary numerical results illustrating the latter aspect are also reported.
机译:我们概述了一些针对有限元离散化问题的代数多重网格方法。重点是保证(两网格)收敛的粗糙空间层次结构的属性。特别地,讨论了称为“弱逼近性质”的必要条件和称为“强逼近性质”的充分条件。指出了它们在证明TG方法(作为迭代方法)的收敛性以及在用作离散化工具时对代数mottigrid(AMG)粗糙空间的逼近性质的作用。还报告了一些说明后者的初步数值结果。

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